{"id":"https://openalex.org/W2963095557","doi":"https://doi.org/10.1145/3322640.3326715","title":"Extracting the Gist of Chinese Judgments of the Supreme Court","display_name":"Extracting the Gist of Chinese Judgments of the Supreme Court","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2963095557","doi":"https://doi.org/10.1145/3322640.3326715","mag":"2963095557"},"language":"en","primary_location":{"id":"doi:10.1145/3322640.3326715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3322640.3326715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005169817","display_name":"Chao-Lin Liu","orcid":"https://orcid.org/0000-0002-4093-1497"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Lin Liu","raw_affiliation_strings":["Department of Computer Science, National Chengchi University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chengchi University, Taipei, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101881014","display_name":"Kuan-Chun Chen","orcid":"https://orcid.org/0009-0009-5073-8488"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Chun Chen","raw_affiliation_strings":["Department of Computer Science, National Chengchi University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chengchi University, Taipei, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87354575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10802","display_name":"Judicial and Constitutional Studies","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gist","display_name":"GiST","score":0.7852020859718323},{"id":"https://openalex.org/keywords/supreme-court","display_name":"Supreme court","score":0.7674671411514282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5899888277053833},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5842621326446533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5769123435020447},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5384663343429565},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.5353477597236633},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5231810212135315},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5196148753166199},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.46896329522132874},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33426952362060547},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.2764118015766144},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.21535494923591614},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1824253797531128},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0923914909362793}],"concepts":[{"id":"https://openalex.org/C2775922572","wikidata":"https://www.wikidata.org/wiki/Q83567","display_name":"GiST","level":3,"score":0.7852020859718323},{"id":"https://openalex.org/C2778272461","wikidata":"https://www.wikidata.org/wiki/Q190752","display_name":"Supreme court","level":2,"score":0.7674671411514282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5899888277053833},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5842621326446533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5769123435020447},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5384663343429565},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.5353477597236633},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5231810212135315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5196148753166199},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.46896329522132874},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33426952362060547},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.2764118015766144},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.21535494923591614},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1824253797531128},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0923914909362793},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C16930146","wikidata":"https://www.wikidata.org/wiki/Q4381253","display_name":"Stromal cell","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3322640.3326715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3322640.3326715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W90228578","https://openalex.org/W1491976427","https://openalex.org/W1558284907","https://openalex.org/W1574901103","https://openalex.org/W1930624869","https://openalex.org/W2001212975","https://openalex.org/W2031745026","https://openalex.org/W2046408161","https://openalex.org/W2060296978","https://openalex.org/W2064675550","https://openalex.org/W2079402140","https://openalex.org/W2120879767","https://openalex.org/W2131774270","https://openalex.org/W2145434407","https://openalex.org/W2147707543","https://openalex.org/W2295598076","https://openalex.org/W2493916176","https://openalex.org/W2575845411","https://openalex.org/W2724394450","https://openalex.org/W2751318774","https://openalex.org/W2768348081","https://openalex.org/W2782875096","https://openalex.org/W2950133940","https://openalex.org/W2964121744","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W4233821346"],"abstract_inverted_index":{"The":[0,26],"gist":[1,37,51,63,72],"of":[2,10,41,60,70],"judgement":[3],"documents":[4],"encodes":[5],"important":[6],"experience":[7],"and":[8,14,17,24,87,96,102,116,125],"viewpoints":[9],"the":[11,36,42,50,61,68,71,126],"Supreme":[12,27,43],"Court,":[13,44],"provides":[15],"instrumental":[16],"educational":[18],"information":[19],"for":[20,38,52],"judges,":[21],"lawyers,":[22],"practitioners,":[23],"students.":[25],"Court":[28],"in":[29,131],"Taiwan":[30],"appoints":[31],"senior":[32],"members":[33],"to":[34,48,107],"produce":[35],"selected":[39],"judgments":[40],"but":[45],"is":[46],"unable":[47],"offer":[49],"all":[53],"judgment":[54],"documents.":[55],"Based":[56],"on":[57],"our":[58],"observation":[59],"existing":[62],"statements,":[64],"we":[65,120],"can":[66],"treat":[67],"generation":[69],"as":[73],"a":[74],"sentence":[75],"classification":[76],"problem.":[77],"We":[78],"apply":[79],"machine-learning":[80],"methods,":[81],"including":[82],"gradient":[83],"boosting,":[84],"multilayer":[85],"perceptrons,":[86],"deep":[88],"learning":[89],"methods":[90,106],"with":[91],"long":[92],"short-term":[93],"memory":[94],"units;":[95],"consider":[97],"legal,":[98],"linguistic,":[99],"statistical":[100],"information,":[101],"different":[103],"word":[104],"embedding":[105],"build":[108],"several":[109],"classifiers.":[110],"By":[111],"using":[112],"more":[113,117],"sophisticated":[114],"classifiers":[115],"relevant":[118],"features,":[119],"gradually":[121],"achieved":[122],"better":[123],"results,":[124],"best":[127],"result":[128],"was":[129],"0.9372":[130],"F1":[132],"measure.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
